E-LIB Suche - Ergebnisse für: Xue, Taofeng

1

Modeling user interactions by feature-augmented graph neura..:

Dong, Xinzhou ; Jin, Beihong ; Zhuo, Wei...
CCF Transactions on Pervasive Computing and Interaction. 4 (2022) 3 - p. 207-218 , 2022

Link: https://doi.org/10.1007/..

2

DDEN: A Heterogeneous Learning-to-Rank Approach with Deep D..:

, In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval,

Xiu, Wenchao ; Wang, Yiran ; Xue, Taofeng... - p. 3355-3359 , 2022

Link: https://dl.acm.org/doi/1..

3

A Behavior-Aware Graph Convolution Network Model for Video ..:

, In: Web and Big Data; Lecture Notes in Computer Science,

Zhuo, Wei ; Liu, Kunchi ; Xue, Taofeng... - p. 279-294 , 2021

Link: https://doi.org/10.1007/..

4

Sirius: Sequential Recommendation with Feature Augmented Gr..:

, In: Database Systems for Advanced Applications; Lecture Notes in Computer Science,

Dong, Xinzhou ; Jin, Beihong ; Zhuo, Wei.. - p. 315-320 , 2021

Link: https://doi.org/10.1007/..

5

Feedback-Guided Attributed Graph Embedding for Relevant Vid..:

, In: Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track; Lecture Notes in Computer Science,

Xue, Taofeng ; Dong, Xinzhou ; Zhuo, Wei... - p. 19-35 , 2021

Link: https://doi.org/10.1007/..

6

Improving Sequential Recommendation with Attribute-Augmente..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,

Dong, Xinzhou ; Jin, Beihong ; Zhuo, Wei.. - p. 373-385 , 2021

Link: https://doi.org/10.1007/..

7

Detecting Anomalous Bus-Driving Behaviors from Trajectories:

Wang, Zhao-Yang ; Jin, Bei-Hong ; Ge, Tingjian.
Journal of Computer Science and Technology. 35 (2020) 5 - p. 1047-1063 , 2020

Link: https://doi.org/10.1007/..

8

An Affinity-Driven Relation Network for Figure Question Ans..:

, In: 2020 IEEE International Conference on Multimedia and Expo (ICME),

Zou, Jialong ; Wu, Guoli ; Xue, Taofeng. - p. 1-6 , 2020

Link: https://doi.org/10.1109/..

9

A Spatio-temporal Recommender System for On-demand Cinemas:

, In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management,

Xue, Taofeng ; Jin, Beihong ; Li, Beibei... - p. 1553-1562 , 2019

Link: https://dl.acm.org/doi/1..

10

Spatial-Temporal Recommendation for On-demand Cinemas:

, In: Database Systems for Advanced Applications; Lecture Notes in Computer Science,

Xue, Taofeng ; Jin, Beihong ; Li, Beibei... - p. 373-377 , 2019

Link: https://doi.org/10.1007/..

11

Improving Sequential Recommendation with Attribute-augmente..:

Dong, Xinzhou ; Jin, Beihong ; Zhuo, Wei..
http://arxiv.org/abs/2103.05923. , 2021

Link: http://arxiv.org/abs/210..

12

A Behavior-aware Graph Convolution Network Model for Video ..:

Zhuo, Wei ; Liu, Kunchi ; Xue, Taofeng...
http://arxiv.org/abs/2106.15402. , 2021

Link: http://arxiv.org/abs/210..

13

A spatio-temporal recommender system for on-demand cinemas:

Xue, Taofeng ; Jin, Beihong ; Li, Beibei...
Xue , T , Jin , B , Li , B , Wang , W , Zhang , Q & Tian , S 2019 , A spatio-temporal recommender system for on-demand cinemas . in P Cui , E Rundensteiner , D Carmel , Q He & J Xu Yu (eds) , Proceedings of the 28th ACM International Conference on Information & Knowledge Management . Association for Computing Machinery (ACM) , New York NY USA , pp. 1553-1562 , ACM International Conference on Information and Knowledge Management 2019 , Beijing , China , 3/11/19 . https://doi.org/10.1145/3357384.3357888. , 2019

Link: https://research.monash...

14

Development of a dual-emitting nanohybrids ratiometric fluo..:

Wang, Cunjin ; Zhang, Taofeng ; Xue, Weiming..
Colloids and Surfaces A: Physicochemical and Engineering Aspects. 696 (2024) - p. 134316 , 2024

Link: https://doi.org/10.1016/..

15

Nanoliposomes protecting antimicrobial peptides via membran..:

Xue, Hao ; Li, Jiaying ; Zhang, Liwei...
Materials Advances. 4 (2023) 15 - p. 3303-3309 , 2023

Link: https://doi.org/10.1039/..